LLerDagu / RUL-FFVE
Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction
☆24Updated 11 months ago
Alternatives and similar repositories for RUL-FFVE:
Users that are interested in RUL-FFVE are comparing it to the libraries listed below
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆22Updated last month
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆36Updated last week
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆29Updated last month
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Remaining useful life prediction by Transformer-based Model☆49Updated 2 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 9 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆21Updated 3 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆31Updated 2 years ago
- ☆10Updated last year
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆13Updated last year
- ☆34Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- Benmarking for GNN-based RUL prediction☆27Updated 6 months ago
- case study for remaining useful life estimation☆31Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 2 years ago
- Transfer Learning on RUL estimation☆13Updated 3 years ago
- ☆30Updated last year
- ☆19Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆26Updated 4 years ago
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆11Updated last month
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆65Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 2 years ago
- Reamain Useful Life Prediction of Bearing☆12Updated 2 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆13Updated 4 months ago